DocumentCode :
3575066
Title :
Communication Optimal Least Squares Solver
Author :
Kumar, Pawan
Author_Institution :
Competence Center for High Performance Comput., Fraunhofer Inst. of Ind. Math., Kaiserslautern, Germany
fYear :
2014
Firstpage :
316
Lastpage :
319
Abstract :
For matrix with full column rank, QR algorithm is among the best approach to solve wider class of least squares problem (LS). Using the communication optimal variant of TSQR, we study the scalability of the least squares solver with multiple right hand sides. The communication for TSQR based LS solver for multiple right hand sides is still optimal in the sense that no additional messages are necessary compared to TSQR. However, LS has additional communication volume, and flops compared to that for TSQR. The scalability of the proposed method is studied up to few thousand cores using global address space programming framework (GPI) and pthreads.
Keywords :
least squares approximations; mathematics computing; matrix algebra; message passing; GPI; LS problem; QR algorithm; communication optimal TSQR; communication optimal least squares solver; communication volume; flops; global address space programming framework; least squares problem; matrix algebra; multiple right hand sides; pthreads; scalability; Binary trees; Libraries; Message systems; Programming; Q-factor; Scalability; Synchronization; Least squares; PGAS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS), 2014 IEEE Intl Conf on
Print_ISBN :
978-1-4799-6122-1
Type :
conf
DOI :
10.1109/HPCC.2014.55
Filename :
7056759
Link To Document :
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